7 results on '"disordered systems (theory)"'
Search Results
2. Accurate and fast master equation modeling of triplet-triplet annihilation in organic phosphorescent emission layers including correlations
- Author
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M. Taherpour, C. van Hoesel, R. Coehoorn, P. A. Bobbert, Molecular Materials and Nanosystems, Macromolecular and Organic Chemistry, Center for Computational Energy Research, ICMS Core, and EIRES Chem. for Sustainable Energy Systems
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Organic light emitting diode ,Disordered systems (theory) ,many-body calculations ,Approximate methods for many-body systems ,master equation ,Optoelectronics - Abstract
Triplet-triplet annihilation (TTA) in phosphorescent emission layers of modern organic light-emitting diodescompromises their performance and device lifetime. TTA can occur by a Förster-type interaction between twotriplets, leading to a loss of one of them. The TTA process gives rise to correlations in the positions of thesurviving triplets, which complicate its study. These correlations can in principle be accounted for exactly inkinetic Monte Carlo (KMC) simulations, but such simulations are computationally expensive. Here, we presentmaster equation modeling of TTA that accounts for correlations in a computationally efficient way. Cases withoutand with triplet diffusion, which partly washes out correlations, are considered. We calculate the influence ofTTA on transient photoluminescence experiments, where it leads to a deviation from exponential decay, and onsteady-state emission efficiency. A comparison with KMC simulations shows that our master equation modelingis an accurate and computationally competitive alternative.
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- 2022
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3. Level repulsion exponent $\beta$ for Many-Body Localization Transitions and for Anderson Localization Transitions via Dyson Brownian Motion
- Author
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Cécile Monthus, Institut de Physique Théorique - UMR CNRS 3681 (IPHT), and Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)
- Subjects
Statistics and Probability ,Anderson localization ,Level repulsion ,spin chains ,disordered systems (theory) ,Anderson model (theory) ,Inverse ,01 natural sciences ,010305 fluids & plasmas ,symbols.namesake ,0103 physical sciences ,010306 general physics ,Brownian motion ,Eigenvalues and eigenvectors ,Mathematical physics ,Physics ,thermalization ,[PHYS]Physics [physics] ,Statistical and Nonlinear Physics ,Condensed Matter - Disordered Systems and Neural Networks ,ladders and planes (theory) ,symbols ,Exponent ,Statistics, Probability and Uncertainty ,Hamiltonian (quantum mechanics) ,Random matrix - Abstract
The generalization of the Dyson Brownian Motion approach of random matrices to Anderson Localization (AL) models [Chalker, Lerner and Smith PRL 77, 554 (1996)] and to Many-Body Localization (MBL) Hamiltonians [Serbyn and Moore arxiv:1508.07293] is revisited to extract the level repulsion exponent $\beta$, where $\beta=1$ in the delocalized phase governed by the Wigner-Dyson statistics, $\beta=0$ in the localized phase governed by the Poisson statistics, and $0 |^2 $ for the same eigenstate $m=n$ and for consecutive eigenstates $m=n+1$. For the Anderson Localization tight-binding Hamiltonian with random on-site energies $h_i$, we find $\beta =2 Y_{n,n+1}(N)/(Y_{n,n}(N)-Y_{n,n+1}(N)) $ in terms of the Density Correlation matrix $Y_{nm}(N) \equiv \sum_{i=1}^N | < \phi_n | i> |^2 | |^2 $ for consecutive eigenstates $m=n+1$, while the diagonal element $m=n$ corresponds to the Inverse Participation Ratio $Y_{nn}(N) \equiv \sum_{i=1}^N | < \phi_n | i> |^4 $ of the eigenstate $| \phi_n>$., Comment: 22 pages
- Published
- 2016
- Full Text
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4. Many-Body Localization : construction of the emergent local conserved operators via block real-space renormalization
- Author
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Cécile Monthus, Institut de Physique Théorique - UMR CNRS 3681 (IPHT), and Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)
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Statistics and Probability ,spin chains ,disordered systems (theory) ,FOS: Physical sciences ,Space (mathematics) ,01 natural sciences ,010305 fluids & plasmas ,Renormalization ,Operator (computer programming) ,0103 physical sciences ,010306 general physics ,Quantum ,Eigenvalues and eigenvectors ,Mathematical physics ,Physics ,[PHYS]Physics [physics] ,Order (ring theory) ,Statistical and Nonlinear Physics ,Disordered Systems and Neural Networks (cond-mat.dis-nn) ,Condensed Matter - Disordered Systems and Neural Networks ,ladders and planes (theory) ,renormalisation group ,Ising model ,quantum phase transitions (theory) ,Statistics, Probability and Uncertainty ,Realization (systems) - Abstract
A Fully Many-Body Localized (FMBL) quantum disordered system is characterized by the emergence of an extensive number of local conserved operators that prevents the relaxation towards thermal equilibrium. These local conserved operators can be seen as the building blocks of the whole set of eigenstates. In this paper, we propose to construct them explicitly via some block real-space renormalization. The principle is that each RG step diagonalizes the smallest remaining blocks and produces a conserved operator for each block. The final output for a chain of $N$ spins is a hierarchical organization of the $N$ conserved operators with $\left(\frac{\ln N}{\ln 2}\right)$ layers. The system-size nature of the conserved operators of the top layers is necessary to describe the possible long-ranged order of the excited eigenstates and the possible critical points between different FMBL phases. We discuss the similarities and the differences with the Strong Disorder RSRG-X method that generates the whole set of the $2^N$ eigenstates via a binary tree of $N$ layers. The approach is applied to the Long-Ranged Quantum Spin-Glass Ising model, where the constructed excited eigenstates are found to be exactly like ground states in another disorder realization, so that they can be either in the paramagnetic phase, in the spin-glass phase or critical., 11 pages
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- 2016
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5. Real-space renormalization for the finite temperature statics and dynamics of the Dyson Long-Ranged Ferromagnetic and Spin-Glass models
- Author
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Cécile Monthus, Institut de Physique Théorique - UMR CNRS 3681 (IPHT), and Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)
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Statistics and Probability ,Phase transition ,Spin glass ,disordered systems (theory) ,FOS: Physical sciences ,Space (mathematics) ,01 natural sciences ,010305 fluids & plasmas ,Renormalization ,ergodicity breaking (theory) ,0103 physical sciences ,010306 general physics ,Mathematical physics ,Physics ,[PHYS]Physics [physics] ,Spins ,Relaxation (NMR) ,Sigma ,Statistical and Nonlinear Physics ,stochastic processes (theory) ,Disordered Systems and Neural Networks (cond-mat.dis-nn) ,Condensed Matter - Disordered Systems and Neural Networks ,Exponent ,renormalisation group ,Condensed Matter::Strongly Correlated Electrons ,Statistics, Probability and Uncertainty - Abstract
The finite temperature dynamics of the Dyson hierarchical classical spins models is studied via real-space renormalization rules concerning the couplings and the relaxation times. For the ferromagnetic model involving Long-Ranged coupling $J(r) \propto r^{-1-\sigma}$ in the region $1/2, Comment: 14 pages, 2 figures
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- 2016
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6. Numerical study of the dynamics of some long range spin glass models
- Author
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Alain Billoire, Institut de Physique Théorique - UMR CNRS 3681 (IPHT), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), and Granted by Genci under number t2014056870
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[PHYS]Physics [physics] ,Statistics and Probability ,Physics ,Spin glass ,Spins ,Monte Carlo method ,slow relaxation and glassy dynamics ,disordered systems (theory) ,FOS: Physical sciences ,spin glasses (theory) ,Statistical and Nonlinear Physics ,Disordered Systems and Neural Networks (cond-mat.dis-nn) ,Condensed Matter - Disordered Systems and Neural Networks ,Condensed Matter::Disordered Systems and Neural Networks ,Critical scaling ,Mean field theory ,Remanence ,Ising spin ,[PHYS.COND.CM-DS-NN]Physics [physics]/Condensed Matter [cond-mat]/Disordered Systems and Neural Networks [cond-mat.dis-nn] ,Statistical physics ,Statistics, Probability and Uncertainty ,Scaling ,PACS numbers: 75.50.Lk, 75.10.Nr, 75.40.Gb - Abstract
We present results of a Monte Carlo study of the equilibrium dynamics of the one dimensional long-range Ising spin glass model. By tuning a parameter $\sigma$, this model interpolates between the mean field Sherrington-Kirkpatrick model and a proxy of the finite dimensional Edward-Anderson model. Activated scaling fits for the behavior of the relaxation time $\tau$ as a function of the number of spins $N$ (Namely $\ln(\tau)\propto N^{\psi}$) give values of $\psi$ that are not stable against inclusion of subleading corrections. Critical scaling ($\tau\propto N^{\rho}$) gives more stable fits, at least in the non mean field region. We also present results on the scaling of the time decay of the critical remanent magnetization of the Sherrington-Kirkpatrick model, a case where the simulation can be done with quite large systems and that shows the difficulties in obtaining precise values for dynamical exponents in spin glass models.
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- 2015
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7. Avalanches, loading and finite size effects in 2D amorphous plasticity: results from a finite element model
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Stefano Zapperi, Stefan Sandfeld, Zoe Budrikis, and David Fernandez Castellanos
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Statistics and Probability ,Materials science ,Statistical Mechanics (cond-mat.stat-mech) ,disordered systems (theory) ,FOS: Physical sciences ,Statistical and Nonlinear Physics ,Mechanics ,Eigenstrain ,Condensed Matter - Soft Condensed Matter ,Plasticity ,plasticity (theory) ,Finite element method ,Amorphous solid ,surface effects (theory) ,Lattice (order) ,Soft Condensed Matter (cond-mat.soft) ,finite-size scaling ,Boundary value problem ,Statistics, Probability and Uncertainty ,Critical exponent ,Shear band ,Condensed Matter - Statistical Mechanics - Abstract
Crystalline plasticity is strongly interlinked with dislocation mechanics and nowadays is relatively well understood. Concepts and physical models of plastic deformation in amorphous materials on the other hand - where the concept of linear lattice defects is not applicable - still are lagging behind. We introduce an eigenstrain-based finite element lattice model for simulations of shear band formation and strain avalanches. Our model allows us to study the influence of surfaces and finite size effects on the statistics of avalanches. We find that even with relatively complex loading conditions and open boundary conditions, critical exponents describing avalanche statistics are unchanged, which validates the use of simpler scalar lattice-based models to study these phenomena., Comment: Journal of Statistical Mechanics: Theory and Experiment, 2015, P02011
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- 2015
- Full Text
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